Year Population Yearly % Change Yearly Change Migrants (net) Median Age Fertility Rate Density (P/Km²) Urban Pop % Urban Population Country's Share of World Pop World Population China Global Rank
0 2020 1439323776 0.39 5540090 -348399 38.4 1.69 153 60.8 875075919 18.47 7794798739 1
1 2019 1433783686 0.43 6135900 -348399 37.0 1.65 153 59.7 856409297 18.59 7713468100 1
2 2018 1427647786 0.47 6625995 -348399 37.0 1.65 152 58.6 837022095 18.71 7631091040 1
3 2017 1421021791 0.49 6972440 -348399 37.0 1.65 151 57.5 816957613 18.83 7547858925 1
4 2016 1414049351 0.51 7201481 -348399 37.0 1.65 151 56.3 796289491 18.94 7464022049 1
5 2015 1406847870 0.55 7607451 -310442 36.7 1.64 150 55.1 775352918 19.06 7379797139 1
6 2010 1368810615 0.57 7606847 -435677 35.0 1.62 146 48.9 669353557 19.68 6956823603 1
7 2005 1330776380 0.62 8045123 -393116 32.6 1.61 142 42.2 561983323 20.34 6541907027 1
8 2000 1290550765 0.79 9926046 -76600 30.0 1.62 137 35.7 460377048 21.01 6143493823 1
9 1995 1240920535 1.07 12807372 -155996 27.4 1.83 132 30.9 383901711 21.60 5744212979 1
10 1990 1176883674 1.82 20258863 -86330 24.9 2.73 125 26.3 310022147 22.09 5327231061 1
11 1985 1075589361 1.47 15100025 -40000 23.5 2.52 115 22.8 244946241 22.08 4870921740 1
12 1980 1000089235 1.55 14769670 -9401 21.9 3.01 107 19.2 192392094 22.43 4458003514 1
13 1975 926240885 2.28 19727898 -221096 20.3 4.85 99 17.3 160244444 22.70 4079480606 1
14 1970 827601394 2.70 20676485 -32000 19.3 6.30 88 17.3 143513192 22.36 3700437046 1
15 1965 724218968 1.86 12762182 -225145 19.8 6.15 77 18.0 130684595 21.69 3339583597 1
16 1960 660408056 1.53 9633300 -11900 21.3 5.48 70 16.1 106561743 21.76 3034949748 1
17 1955 612241554 2.00 11564456 -51205 22.2 6.11 65 13.8 84639825 22.08 2773019936 1

Descriptive statistics¶

(1154278093.4444444, 1265735650.0, 292216785.8696303)
(-210605.72222222222, -223120.5, 151843.0224524872)
(466984847.3888889, 422139379.5, 304409602.7372602)

I have explored the statistics on population, migrants (net) and urban population mean, median and standard diviation.

Data clean up¶

Year                            0
Population                      0
Yearly % Change                 0
Yearly Change                   0
Migrants (net)                  0
Median Age                      0
Fertility Rate                  0
Density (P/Km²)                 0
Urban Pop %                     0
Urban Population                0
Country's Share of World Pop    0
World Population                0
China Global Rank               0
dtype: int64

As you see, there are no NaNs and data seems to be pretty clean in general.

Transformation¶

Year Population Yearly % Change Yearly Change Migrants (net) Median Age Fertility Rate Density (P/Km²) Urban Pop % Urban Population Country's Share of World Pop World Population China Global Rank Urban index
0 2020 1439323776 0.39 5540090 -348399 38.4 1.69 153 60.8 875075919 18.47 7794798739 1 2.516447
1 2019 1433783686 0.43 6135900 -348399 37.0 1.65 153 59.7 856409297 18.59 7713468100 1 2.562814
2 2018 1427647786 0.47 6625995 -348399 37.0 1.65 152 58.6 837022095 18.71 7631091040 1 2.593857
3 2017 1421021791 0.49 6972440 -348399 37.0 1.65 151 57.5 816957613 18.83 7547858925 1 2.626087
4 2016 1414049351 0.51 7201481 -348399 37.0 1.65 151 56.3 796289491 18.94 7464022049 1 2.682060
5 2015 1406847870 0.55 7607451 -310442 36.7 1.64 150 55.1 775352918 19.06 7379797139 1 2.722323
6 2010 1368810615 0.57 7606847 -435677 35.0 1.62 146 48.9 669353557 19.68 6956823603 1 2.985685
7 2005 1330776380 0.62 8045123 -393116 32.6 1.61 142 42.2 561983323 20.34 6541907027 1 3.364929
8 2000 1290550765 0.79 9926046 -76600 30.0 1.62 137 35.7 460377048 21.01 6143493823 1 3.837535
9 1995 1240920535 1.07 12807372 -155996 27.4 1.83 132 30.9 383901711 21.60 5744212979 1 4.271845
10 1990 1176883674 1.82 20258863 -86330 24.9 2.73 125 26.3 310022147 22.09 5327231061 1 4.752852
11 1985 1075589361 1.47 15100025 -40000 23.5 2.52 115 22.8 244946241 22.08 4870921740 1 5.043860
12 1980 1000089235 1.55 14769670 -9401 21.9 3.01 107 19.2 192392094 22.43 4458003514 1 5.572917
13 1975 926240885 2.28 19727898 -221096 20.3 4.85 99 17.3 160244444 22.70 4079480606 1 5.722543
14 1970 827601394 2.70 20676485 -32000 19.3 6.30 88 17.3 143513192 22.36 3700437046 1 5.086705
15 1965 724218968 1.86 12762182 -225145 19.8 6.15 77 18.0 130684595 21.69 3339583597 1 4.277778
16 1960 660408056 1.53 9633300 -11900 21.3 5.48 70 16.1 106561743 21.76 3034949748 1 4.347826
17 1955 612241554 2.00 11564456 -51205 22.2 6.11 65 13.8 84639825 22.08 2773019936 1 4.710145

I call "urban index" density devided by percentage of urban population%. It in some way shows the urbanization of a country.

Year Population Yearly % Change Yearly Change Migrants (net) Median Age Fertility Rate Density (P/Km²) Urban Pop % Urban Population Country's Share of World Pop World Population China Global Rank Urban index Migrant index
0 2020 1439323776 0.39 5540090 -348399 38.4 1.69 153 60.8 875075919 18.47 7794798739 1 2.516447 -0.062887
1 2019 1433783686 0.43 6135900 -348399 37.0 1.65 153 59.7 856409297 18.59 7713468100 1 2.562814 -0.056780
2 2018 1427647786 0.47 6625995 -348399 37.0 1.65 152 58.6 837022095 18.71 7631091040 1 2.593857 -0.052581
3 2017 1421021791 0.49 6972440 -348399 37.0 1.65 151 57.5 816957613 18.83 7547858925 1 2.626087 -0.049968
4 2016 1414049351 0.51 7201481 -348399 37.0 1.65 151 56.3 796289491 18.94 7464022049 1 2.682060 -0.048379
5 2015 1406847870 0.55 7607451 -310442 36.7 1.64 150 55.1 775352918 19.06 7379797139 1 2.722323 -0.040808
6 2010 1368810615 0.57 7606847 -435677 35.0 1.62 146 48.9 669353557 19.68 6956823603 1 2.985685 -0.057274
7 2005 1330776380 0.62 8045123 -393116 32.6 1.61 142 42.2 561983323 20.34 6541907027 1 3.364929 -0.048864
8 2000 1290550765 0.79 9926046 -76600 30.0 1.62 137 35.7 460377048 21.01 6143493823 1 3.837535 -0.007717
9 1995 1240920535 1.07 12807372 -155996 27.4 1.83 132 30.9 383901711 21.60 5744212979 1 4.271845 -0.012180
10 1990 1176883674 1.82 20258863 -86330 24.9 2.73 125 26.3 310022147 22.09 5327231061 1 4.752852 -0.004261
11 1985 1075589361 1.47 15100025 -40000 23.5 2.52 115 22.8 244946241 22.08 4870921740 1 5.043860 -0.002649
12 1980 1000089235 1.55 14769670 -9401 21.9 3.01 107 19.2 192392094 22.43 4458003514 1 5.572917 -0.000637
13 1975 926240885 2.28 19727898 -221096 20.3 4.85 99 17.3 160244444 22.70 4079480606 1 5.722543 -0.011207
14 1970 827601394 2.70 20676485 -32000 19.3 6.30 88 17.3 143513192 22.36 3700437046 1 5.086705 -0.001548
15 1965 724218968 1.86 12762182 -225145 19.8 6.15 77 18.0 130684595 21.69 3339583597 1 4.277778 -0.017642
16 1960 660408056 1.53 9633300 -11900 21.3 5.48 70 16.1 106561743 21.76 3034949748 1 4.347826 -0.001235
17 1955 612241554 2.00 11564456 -51205 22.2 6.11 65 13.8 84639825 22.08 2773019936 1 4.710145 -0.004428

Migrant index is pretty basic. It clearifies the role of migrants in yearly change.

Plots¶

<AxesSubplot: xlabel='Year', ylabel='Population'>

It shows us that population is increasing consistently.

<BarContainer object of 18 artists>

The bar basicly shows that with population also grows median age

<AxesSubplot: xlabel='Year', ylabel='Fertility Rate'>

Graph potrays the plunge of fertility over the years

Observation¶